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Full-Dimensional Imaging and Camera Intelligence MPMeister

Boxin Shi

生駒 : 奈良先端科学技術大学院大学, 2016.10

Related materials

  Volume Printing year Location Call Number Material ID Circulation class Status Waiting
1 MPMeister   Digital Library LA-I-R[Flash][Mobile] M013965   0
Contents Intro. : An ordinary camera captures the real 3D scene as a projected 2D image with three channels. During this projection process, some scene information gets lost such as depth and surface normal, and some information gets compressed such as resolution and dynamic range. This presentation answers the questions what information has been lost and how to get them back by introducing the full-dimensional imaging framework. The lost and compressed information is restored as additional channels of a generalized image, e.g., a high-quality depth map with as high resolution as the 2D image, with state of the art computer vision algorithms, computational photography techniques, and novel camera prototyping. The concept of camera intelligence is then introduced to inspire the future research that complements artificial intelligence with camera design for solving visual computing problems that can never be solved using a conventional camera.
Publication year : 2016
Form : 電子化映像資料(1時間15分20秒)
Series title :

情報科学研究科・ゼミナール講演 ; 平成28年度

Note :

講演者所属: 産業技術総合研究所

講演日: 平成28年10月31日

講演場所: 情報科学研究科大講義室L1

Country of publication : Japan
Title language : English (eng)
Language of texts : English (eng)
Author information :

Shi, Boxin